class loadnpy:
    def __init__(self, clean_image_dir, noisy_image_dir, transform=None):
        self.clean_image_dir = clean_image_dir
        self.noisy_image_dir = noisy_image_dir
        self.transform = transform

        self.clean_image_filenames = sorted(os.listdir(clean_image_dir))
        self.noisy_image_filenames = sorted(os.listdir(noisy_image_dir))

    def __len__(self):
        return len(self.clean_image_filenames)

    def __getitem__(self, idx):
        clean_image_path = os.path.join(
            self.clean_image_dir, self.clean_image_filenames[idx]
        )
        noisy_image_path = os.path.join(
            self.noisy_image_dir, self.noisy_image_filenames[idx]
        )
        clean_image = np.load(clean_image_path)
        noisy_image = np.load(noisy_image_path)
        if self.transform:
            clean_image = self.transform(clean_image)
            noisy_image = self.transform(noisy_image)

        return noisy_image, clean_image, noisy_image_path


if __name__ == "__main__":
    gt_path = "your_path/sony_IMX678_20240111/RAW/gt/"
    noisy_path = "your_path/sony_IMX678_20240111/RAW/noisy/"
    dataset = loadnpy(gt_path, noisy_path)